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            <h1>info.debatty.jinu.Case</h1>
            <p>2017-07-21 07:50:52</p>
            <p>spark.kmedoids.eval.fish.TestCase : -d fish-timeseries-0 -r Dropbox/eurecom-cluster/results/ -s 6621000 -s 13242000</p>
            <p>Iterations: 20</p>
            <p>Tests:</p>
            <ul>
                                    <li>spark.kmedoids.eval.fish.ClaransTest</li>
                                    <li>spark.kmedoids.eval.fish.HeuristicTest</li>
                                    <li>spark.kmedoids.eval.fish.SimulatedAnnealingTest</li>
                            </ul>

            <h2>System</h2>
            <p>Hostname: spark-submit0-100497-prod</p>
            <p>Processors (cores): 32</p>
            <p>Memory (MB): 10923</p>

            <h2>Results</h2>
                            <canvas id="chart_0" width="640" height="480"></canvas>
            
            <canvas id="chart_time" width="640" height="480"></canvas>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#results-table">
                    Show/hide results table
                </a>
            </p>

            <table class="table table-condensed collapse in" id="results-table">
                <tr>
                    <th>Test</th>
                    <th>Parameter value</th>
                                            <td>r0</td>
                                        <th>time (ms)</th>
                    <th></th>
                </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>6621000.0</td>
                                                    <td>4054.454218744357</td>
                                                <td>411377</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>6621000.0</td>
                                                    <td>4080.2816715300632</td>
                                                <td>435064</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>6621000.0</td>
                                                    <td>4023.1213403511692</td>
                                                <td>451813</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>6621000.0</td>
                                                    <td>4014.776301464096</td>
                                                <td>409601</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>6621000.0</td>
                                                    <td>4025.55765231121</td>
                                                <td>534897</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>6621000.0</td>
                                                    <td>4041.5707645734883</td>
                                                <td>416151</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>6621000.0</td>
                                                    <td>3948.166919139</td>
                                                <td>430701</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>6621000.0</td>
                                                    <td>3949.5450969987523</td>
                                                <td>427664</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>6621000.0</td>
                                                    <td>4000.698094027203</td>
                                                <td>434189</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>6621000.0</td>
                                                    <td>3920.6778235184133</td>
                                                <td>440115</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>6621000.0</td>
                                                    <td>3992.8758720851106</td>
                                                <td>437778</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>6621000.0</td>
                                                    <td>4030.016914037996</td>
                                                <td>415849</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>6621000.0</td>
                                                    <td>4004.168743662839</td>
                                                <td>560880</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>6621000.0</td>
                                                    <td>3951.36055458952</td>
                                                <td>429609</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>6621000.0</td>
                                                    <td>4055.0308827360705</td>
                                                <td>409789</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>6621000.0</td>
                                                    <td>3994.8975624287177</td>
                                                <td>421398</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>6621000.0</td>
                                                    <td>4043.3266258247127</td>
                                                <td>395663</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>6621000.0</td>
                                                    <td>4022.5661544791037</td>
                                                <td>431527</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>6621000.0</td>
                                                    <td>4017.9809541374457</td>
                                                <td>495113</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>6621000.0</td>
                                                    <td>4034.906647472096</td>
                                                <td>447296</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1.3242E7</td>
                                                    <td>4070.484633607087</td>
                                                <td>1038704</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1.3242E7</td>
                                                    <td>4044.5236062264794</td>
                                                <td>848700</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1.3242E7</td>
                                                    <td>4061.505601699299</td>
                                                <td>834299</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1.3242E7</td>
                                                    <td>4072.6833413663935</td>
                                                <td>847335</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1.3242E7</td>
                                                    <td>4027.842854822281</td>
                                                <td>866537</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1.3242E7</td>
                                                    <td>4028.5920785226676</td>
                                                <td>834297</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1.3242E7</td>
                                                    <td>4031.777757371264</td>
                                                <td>831752</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1.3242E7</td>
                                                    <td>4105.704092569801</td>
                                                <td>862689</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1.3242E7</td>
                                                    <td>4079.363099651951</td>
                                                <td>782346</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1.3242E7</td>
                                                    <td>4037.98399761673</td>
                                                <td>858443</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1.3242E7</td>
                                                    <td>4067.0084713591978</td>
                                                <td>861269</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1.3242E7</td>
                                                    <td>4043.8752279410737</td>
                                                <td>782619</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1.3242E7</td>
                                                    <td>4031.8291230331392</td>
                                                <td>817012</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1.3242E7</td>
                                                    <td>4080.946802472983</td>
                                                <td>878339</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1.3242E7</td>
                                                    <td>4050.5997030442413</td>
                                                <td>836396</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1.3242E7</td>
                                                    <td>4055.4300257613577</td>
                                                <td>851292</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1.3242E7</td>
                                                    <td>4062.0354895033825</td>
                                                <td>796534</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1.3242E7</td>
                                                    <td>4111.362932373364</td>
                                                <td>799962</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1.3242E7</td>
                                                    <td>4028.3123070692154</td>
                                                <td>953229</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.ClaransTest</td>
                        <td>1.3242E7</td>
                                                    <td>4047.7983255868785</td>
                                                <td>826539</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>6621000.0</td>
                                                    <td>3943.6078225642605</td>
                                                <td>428294</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>6621000.0</td>
                                                    <td>4016.449399438884</td>
                                                <td>418567</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>6621000.0</td>
                                                    <td>3963.2603376581646</td>
                                                <td>533961</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>6621000.0</td>
                                                    <td>3961.930089619851</td>
                                                <td>400562</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>6621000.0</td>
                                                    <td>4051.9599652682255</td>
                                                <td>469565</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>6621000.0</td>
                                                    <td>4010.5070857541555</td>
                                                <td>419588</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>6621000.0</td>
                                                    <td>4043.9523068131857</td>
                                                <td>433535</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>6621000.0</td>
                                                    <td>4040.405949111688</td>
                                                <td>443888</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>6621000.0</td>
                                                    <td>4030.7355948711515</td>
                                                <td>415567</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>6621000.0</td>
                                                    <td>4000.261112430935</td>
                                                <td>434140</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>6621000.0</td>
                                                    <td>4006.1790952051247</td>
                                                <td>429675</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>6621000.0</td>
                                                    <td>3998.4912116355968</td>
                                                <td>478022</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>6621000.0</td>
                                                    <td>3931.910579866044</td>
                                                <td>422695</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>6621000.0</td>
                                                    <td>3986.7572597695344</td>
                                                <td>550683</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>6621000.0</td>
                                                    <td>4036.3373972187924</td>
                                                <td>421472</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>6621000.0</td>
                                                    <td>3921.651420819253</td>
                                                <td>427203</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>6621000.0</td>
                                                    <td>3994.4494738983117</td>
                                                <td>419338</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>6621000.0</td>
                                                    <td>4009.019302540126</td>
                                                <td>440388</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>6621000.0</td>
                                                    <td>3898.826910622436</td>
                                                <td>441194</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>6621000.0</td>
                                                    <td>4026.764138284663</td>
                                                <td>456287</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1.3242E7</td>
                                                    <td>4068.988730811184</td>
                                                <td>838659</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1.3242E7</td>
                                                    <td>4082.528999584868</td>
                                                <td>889316</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1.3242E7</td>
                                                    <td>4064.8978863305147</td>
                                                <td>879451</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1.3242E7</td>
                                                    <td>4058.483425550883</td>
                                                <td>917039</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1.3242E7</td>
                                                    <td>4060.786755051184</td>
                                                <td>808850</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1.3242E7</td>
                                                    <td>4076.929560240676</td>
                                                <td>837756</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1.3242E7</td>
                                                    <td>4038.3241628220253</td>
                                                <td>871608</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1.3242E7</td>
                                                    <td>4049.3368891354444</td>
                                                <td>873851</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1.3242E7</td>
                                                    <td>4092.6231888028988</td>
                                                <td>921841</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1.3242E7</td>
                                                    <td>4090.193601296913</td>
                                                <td>870353</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1.3242E7</td>
                                                    <td>4076.472711456237</td>
                                                <td>769325</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1.3242E7</td>
                                                    <td>4073.36961547963</td>
                                                <td>1112786</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1.3242E7</td>
                                                    <td>4095.2177950446485</td>
                                                <td>844828</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1.3242E7</td>
                                                    <td>4043.628870668898</td>
                                                <td>1051618</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1.3242E7</td>
                                                    <td>4011.9994819140916</td>
                                                <td>870809</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1.3242E7</td>
                                                    <td>4046.945249414548</td>
                                                <td>851970</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1.3242E7</td>
                                                    <td>4042.3386659830994</td>
                                                <td>830605</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1.3242E7</td>
                                                    <td>4062.378946361976</td>
                                                <td>1074631</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1.3242E7</td>
                                                    <td>4062.4701540906517</td>
                                                <td>730121</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                        <td>1.3242E7</td>
                                                    <td>4009.015789069722</td>
                                                <td>884402</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>6621000.0</td>
                                                    <td>4029.735635886919</td>
                                                <td>411056</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>6621000.0</td>
                                                    <td>4027.9744209708488</td>
                                                <td>518426</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>6621000.0</td>
                                                    <td>4148.592166432422</td>
                                                <td>430385</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>6621000.0</td>
                                                    <td>4045.517741364905</td>
                                                <td>511210</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>6621000.0</td>
                                                    <td>4022.495558652155</td>
                                                <td>427887</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>6621000.0</td>
                                                    <td>3989.659745139231</td>
                                                <td>424214</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>6621000.0</td>
                                                    <td>4049.3473927853465</td>
                                                <td>422128</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>6621000.0</td>
                                                    <td>4023.3016518992918</td>
                                                <td>369217</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>6621000.0</td>
                                                    <td>4046.804018975402</td>
                                                <td>362067</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>6621000.0</td>
                                                    <td>4056.251104446774</td>
                                                <td>412847</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>6621000.0</td>
                                                    <td>3955.2599323536697</td>
                                                <td>414077</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>6621000.0</td>
                                                    <td>4067.727282671371</td>
                                                <td>451088</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>6621000.0</td>
                                                    <td>3991.961174117554</td>
                                                <td>414609</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>6621000.0</td>
                                                    <td>4069.09526315854</td>
                                                <td>441810</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>6621000.0</td>
                                                    <td>3972.4777709527057</td>
                                                <td>422759</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>6621000.0</td>
                                                    <td>4065.645694310611</td>
                                                <td>394767</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>6621000.0</td>
                                                    <td>3975.8968177799547</td>
                                                <td>441282</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>6621000.0</td>
                                                    <td>4025.3362461210218</td>
                                                <td>416976</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>6621000.0</td>
                                                    <td>4006.9809021696988</td>
                                                <td>417958</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>6621000.0</td>
                                                    <td>4014.444980020032</td>
                                                <td>456154</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1.3242E7</td>
                                                    <td>4031.2274884448498</td>
                                                <td>938021</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1.3242E7</td>
                                                    <td>4043.531734371309</td>
                                                <td>828794</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1.3242E7</td>
                                                    <td>4116.655323905327</td>
                                                <td>974541</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1.3242E7</td>
                                                    <td>4027.844730361749</td>
                                                <td>862863</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1.3242E7</td>
                                                    <td>4057.772691861348</td>
                                                <td>808998</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1.3242E7</td>
                                                    <td>4061.2035236884803</td>
                                                <td>838027</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1.3242E7</td>
                                                    <td>4037.712678218054</td>
                                                <td>850164</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1.3242E7</td>
                                                    <td>4004.6701886970795</td>
                                                <td>856222</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1.3242E7</td>
                                                    <td>4074.069476267733</td>
                                                <td>801451</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1.3242E7</td>
                                                    <td>4039.3139976814996</td>
                                                <td>870564</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1.3242E7</td>
                                                    <td>4070.686152160343</td>
                                                <td>879763</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1.3242E7</td>
                                                    <td>4047.077398894113</td>
                                                <td>840231</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1.3242E7</td>
                                                    <td>4049.049062386101</td>
                                                <td>792838</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1.3242E7</td>
                                                    <td>3996.795767623788</td>
                                                <td>868146</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1.3242E7</td>
                                                    <td>4071.6346920107994</td>
                                                <td>850740</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1.3242E7</td>
                                                    <td>3999.4513490628387</td>
                                                <td>755386</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1.3242E7</td>
                                                    <td>4028.1517637656843</td>
                                                <td>819052</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1.3242E7</td>
                                                    <td>4063.6444896570347</td>
                                                <td>803616</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1.3242E7</td>
                                                    <td>4030.390361585814</td>
                                                <td>829897</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                        <td>1.3242E7</td>
                                                    <td>4083.223217256699</td>
                                                <td>803819</td>
                        <td></td>
                    </tr>
                            </table>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#confidence">
                    Show/hide confidence intervals
                </a>
            </p>
            <div class="collapse in" id="confidence">
                <h2>Confidence intervals</h2>
                <table class='table table-condensed'>
                    <tr>
                        <th>Test</th>
                        <th>Parameter value</th>
                        <th></th>
                                                    <td>r0</td>
                                                <th>time (ms)</th>
                    </tr>

                                            <tr>
                            <td>spark.kmedoids.eval.fish.ClaransTest</td>
                            <td>6621000.0</td>
                            <td>mean</td>
                                                            <td>4010.2990397055682</td>
                                                        <td>441823.69999999995</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.ClaransTest</td>
                            <td>6621000.0</td>
                            <td>std dev</td>
                                                            <td>41.20916754266908</td>
                                                        <td>41916.29716232101</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.ClaransTest</td>
                            <td>6621000.0</td>
                            <td>low</td>
                                                            <td>3991.012555619027</td>
                                                        <td>422206.2690642553</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.ClaransTest</td>
                            <td>6621000.0</td>
                            <td>high</td>
                                                            <td>4029.5855237921096</td>
                                                        <td>461441.1309357446</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.fish.ClaransTest</td>
                            <td>1.3242E7</td>
                            <td>mean</td>
                                                            <td>4056.982973579939</td>
                                                        <td>850414.6500000001</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.ClaransTest</td>
                            <td>1.3242E7</td>
                            <td>std dev</td>
                                                            <td>24.647080217760312</td>
                                                        <td>58416.73045615308</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.ClaransTest</td>
                            <td>1.3242E7</td>
                            <td>low</td>
                                                            <td>4045.4477849618397</td>
                                                        <td>823074.7785705711</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.ClaransTest</td>
                            <td>1.3242E7</td>
                            <td>high</td>
                                                            <td>4068.518162198038</td>
                                                        <td>877754.5214294292</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                            <td>6621000.0</td>
                            <td>mean</td>
                                                            <td>3993.6728226695186</td>
                                                        <td>444231.20000000007</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                            <td>6621000.0</td>
                            <td>std dev</td>
                                                            <td>43.61549589723411</td>
                                                        <td>38323.14777836112</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                            <td>6621000.0</td>
                            <td>low</td>
                                                            <td>3973.260142246464</td>
                                                        <td>426295.4147403675</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                            <td>6621000.0</td>
                            <td>high</td>
                                                            <td>4014.085503092573</td>
                                                        <td>462166.98525963264</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                            <td>1.3242E7</td>
                            <td>mean</td>
                                                            <td>4060.346523955505</td>
                                                        <td>886490.9500000001</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                            <td>1.3242E7</td>
                            <td>std dev</td>
                                                            <td>23.858015590597446</td>
                                                        <td>95125.03653860562</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                            <td>1.3242E7</td>
                            <td>low</td>
                                                            <td>4049.1806289505143</td>
                                                        <td>841971.0624887112</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.SimulatedAnnealingTest</td>
                            <td>1.3242E7</td>
                            <td>high</td>
                                                            <td>4071.5124189604953</td>
                                                        <td>931010.8375112889</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                            <td>6621000.0</td>
                            <td>mean</td>
                                                            <td>4029.225275010422</td>
                                                        <td>428045.85000000003</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                            <td>6621000.0</td>
                            <td>std dev</td>
                                                            <td>43.32034357111708</td>
                                                        <td>37623.35740953736</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                            <td>6621000.0</td>
                            <td>low</td>
                                                            <td>4008.9507301280787</td>
                                                        <td>410437.57671445084</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                            <td>6621000.0</td>
                            <td>high</td>
                                                            <td>4049.4998198927656</td>
                                                        <td>445654.1232855492</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                            <td>1.3242E7</td>
                            <td>mean</td>
                                                            <td>4046.705304395033</td>
                                                        <td>843656.65</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                            <td>1.3242E7</td>
                            <td>std dev</td>
                                                            <td>29.593103981164766</td>
                                                        <td>49676.93214982606</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                            <td>1.3242E7</td>
                            <td>low</td>
                                                            <td>4032.8553054011654</td>
                                                        <td>820407.1300871365</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.fish.HeuristicTest</td>
                            <td>1.3242E7</td>
                            <td>high</td>
                                                            <td>4060.555303388901</td>
                                                        <td>866906.1699128635</td>
                        </tr>
                                    </table>
            </div>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#similarity">
                    Show/hide similarity
                </a>
            </p>

            <div class="collapse in" id="similarity">
                <h2>Test similarity</h2>
                <p><a href=\"https://en.wikipedia.org/wiki/Student's_t-test\">Student's
                        t-test</a>: values above 0.95 indicate both tests produce the
                    same average value.</p>

                <!-- For each parameter value -->
                                    <h3>Parameter value = 6621000.0</h3>

                                            <h4>r0</h4>
                        <table class='table table-condensed table-bordered'>
                            <tr>
                                <th></th>
                                                                    <th>spark.kmedoids.eval.fish.ClaransTest</th>
                                                                    <th>spark.kmedoids.eval.fish.HeuristicTest</th>
                                                                    <th>spark.kmedoids.eval.fish.SimulatedAnnealingTest</th>
                                                            </tr>

                                                            <tr>
                                    <th>spark.kmedoids.eval.fish.ClaransTest</th>
                                                                            <td>1.0</td>
                                                                            <td>0.1650476160648784</td>
                                                                            <td>0.2229105743203308</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.fish.HeuristicTest</th>
                                                                            <td>0.1650476160648784</td>
                                                                            <td>1.0</td>
                                                                            <td>0.0136538174039443</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.fish.SimulatedAnnealingTest</th>
                                                                            <td>0.2229105743203308</td>
                                                                            <td>0.0136538174039443</td>
                                                                            <td>1.0</td>
                                                                    </tr>
                                                    </table>
                                                        <h3>Parameter value = 1.3242E7</h3>

                                            <h4>r0</h4>
                        <table class='table table-condensed table-bordered'>
                            <tr>
                                <th></th>
                                                                    <th>spark.kmedoids.eval.fish.ClaransTest</th>
                                                                    <th>spark.kmedoids.eval.fish.HeuristicTest</th>
                                                                    <th>spark.kmedoids.eval.fish.SimulatedAnnealingTest</th>
                                                            </tr>

                                                            <tr>
                                    <th>spark.kmedoids.eval.fish.ClaransTest</th>
                                                                            <td>1.0</td>
                                                                            <td>0.2403301642698238</td>
                                                                            <td>0.6634996567955536</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.fish.HeuristicTest</th>
                                                                            <td>0.2403301642698238</td>
                                                                            <td>1.0</td>
                                                                            <td>0.11717279746586529</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.fish.SimulatedAnnealingTest</th>
                                                                            <td>0.6634996567955536</td>
                                                                            <td>0.11717279746586529</td>
                                                                            <td>1.0</td>
                                                                    </tr>
                                                    </table>
                                                </div>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#sources">
                    Show/hide sources
                </a>
            </p>
            <div class="collapse in" id="sources">
                <h2>Sources</h2>
                                    <h3>spark.kmedoids.eval.fish.ClaransTest</h3>
                    <pre>
                    </pre>
                                    <h3>spark.kmedoids.eval.fish.HeuristicTest</h3>
                    <pre>
                    </pre>
                                    <h3>spark.kmedoids.eval.fish.SimulatedAnnealingTest</h3>
                    <pre>
                    </pre>
                            </div>

            <h2>Classpath</h2>
            <ul>
                                    <li>/opt/spark/conf/</li>
                                        <li>/opt/spark/jars/hadoop-client-2.6.4.jar</li>
                                        <li>/opt/spark/jars/ivy-2.4.0.jar</li>
                                        <li>/opt/spark/jars/api-asn1-api-1.0.0-M20.jar</li>
                                        <li>/opt/spark/jars/hive-cli-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/commons-codec-1.10.jar</li>
                                        <li>/opt/spark/jars/spire_2.11-0.7.4.jar</li>
                                        <li>/opt/spark/jars/jdo-api-3.0.1.jar</li>
                                        <li>/opt/spark/jars/stax-api-1.0.1.jar</li>
                                        <li>/opt/spark/jars/hadoop-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/JavaEWAH-0.3.2.jar</li>
                                        <li>/opt/spark/jars/jets3t-0.9.3.jar</li>
                                        <li>/opt/spark/jars/spark-graphx_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/jtransforms-2.4.0.jar</li>
                                        <li>/opt/spark/jars/compress-lzf-1.0.3.jar</li>
                                        <li>/opt/spark/jars/univocity-parsers-2.2.1.jar</li>
                                        <li>/opt/spark/jars/metrics-core-3.1.2.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-jobclient-2.6.4.jar</li>
                                        <li>/opt/spark/jars/guice-3.0.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-api-2.6.4.jar</li>
                                        <li>/opt/spark/jars/apacheds-kerberos-codec-2.0.0-M15.jar</li>
                                        <li>/opt/spark/jars/netty-all-4.0.42.Final.jar</li>
                                        <li>/opt/spark/jars/pyrolite-4.13.jar</li>
                                        <li>/opt/spark/jars/pmml-schema-1.2.15.jar</li>
                                        <li>/opt/spark/jars/antlr-runtime-3.4.jar</li>
                                        <li>/opt/spark/jars/java-xmlbuilder-1.0.jar</li>
                                        <li>/opt/spark/jars/libthrift-0.9.2.jar</li>
                                        <li>/opt/spark/jars/stream-2.7.0.jar</li>
                                        <li>/opt/spark/jars/hive-exec-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/hive-metastore-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/calcite-avatica-1.2.0-incubating.jar</li>
                                        <li>/opt/spark/jars/apache-log4j-extras-1.2.17.jar</li>
                                        <li>/opt/spark/jars/gson-2.2.4.jar</li>
                                        <li>/opt/spark/jars/spire-macros_2.11-0.7.4.jar</li>
                                        <li>/opt/spark/jars/core-1.1.2.jar</li>
                                        <li>/opt/spark/jars/commons-net-2.2.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-server-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/parquet-encoding-1.8.1.jar</li>
                                        <li>/opt/spark/jars/ST4-4.0.4.jar</li>
                                        <li>/opt/spark/jars/spark-launcher_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/spark-hive-thriftserver_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/jodd-core-3.5.2.jar</li>
                                        <li>/opt/spark/jars/spark-sql_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/stringtemplate-3.2.1.jar</li>
                                        <li>/opt/spark/jars/avro-mapred-1.7.7-hadoop2.jar</li>
                                        <li>/opt/spark/jars/commons-lang-2.6.jar</li>
                                        <li>/opt/spark/jars/xercesImpl-2.9.1.jar</li>
                                        <li>/opt/spark/jars/parquet-format-2.3.0-incubating.jar</li>
                                        <li>/opt/spark/jars/chill_2.11-0.8.0.jar</li>
                                        <li>/opt/spark/jars/breeze-macros_2.11-0.12.jar</li>
                                        <li>/opt/spark/jars/parquet-hadoop-bundle-1.6.0.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-shuffle-2.6.4.jar</li>
                                        <li>/opt/spark/jars/commons-digester-1.8.jar</li>
                                        <li>/opt/spark/jars/datanucleus-api-jdo-3.2.6.jar</li>
                                        <li>/opt/spark/jars/jetty-6.1.26.jar</li>
                                        <li>/opt/spark/jars/commons-lang3-3.5.jar</li>
                                        <li>/opt/spark/jars/spark-mllib_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/slf4j-log4j12-1.7.16.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/bcprov-jdk15on-1.51.jar</li>
                                        <li>/opt/spark/jars/breeze_2.11-0.12.jar</li>
                                        <li>/opt/spark/jars/spark-unsafe_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/snappy-0.2.jar</li>
                                        <li>/opt/spark/jars/xbean-asm5-shaded-4.4.jar</li>
                                        <li>/opt/spark/jars/datanucleus-rdbms-3.2.9.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-core-2.6.4.jar</li>
                                        <li>/opt/spark/jars/commons-pool-1.5.4.jar</li>
                                        <li>/opt/spark/jars/javax.ws.rs-api-2.0.1.jar</li>
                                        <li>/opt/spark/jars/jersey-common-2.22.2.jar</li>
                                        <li>/opt/spark/jars/jackson-annotations-2.6.5.jar</li>
                                        <li>/opt/spark/jars/spark-catalyst_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/jetty-util-6.1.26.jar</li>
                                        <li>/opt/spark/jars/commons-httpclient-3.1.jar</li>
                                        <li>/opt/spark/jars/spark-sketch_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/parquet-common-1.8.1.jar</li>
                                        <li>/opt/spark/jars/jackson-mapper-asl-1.9.13.jar</li>
                                        <li>/opt/spark/jars/jackson-core-asl-1.9.13.jar</li>
                                        <li>/opt/spark/jars/scala-library-2.11.8.jar</li>
                                        <li>/opt/spark/jars/javax.servlet-api-3.1.0.jar</li>
                                        <li>/opt/spark/jars/scalap-2.11.8.jar</li>
                                        <li>/opt/spark/jars/jersey-client-2.22.2.jar</li>
                                        <li>/opt/spark/jars/log4j-1.2.17.jar</li>
                                        <li>/opt/spark/jars/oro-2.0.8.jar</li>
                                        <li>/opt/spark/jars/spark-hive_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/spark-mesos_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/metrics-graphite-3.1.2.jar</li>
                                        <li>/opt/spark/jars/validation-api-1.1.0.Final.jar</li>
                                        <li>/opt/spark/jars/antlr4-runtime-4.5.3.jar</li>
                                        <li>/opt/spark/jars/hadoop-auth-2.6.4.jar</li>
                                        <li>/opt/spark/jars/xmlenc-0.52.jar</li>
                                        <li>/opt/spark/jars/commons-cli-1.2.jar</li>
                                        <li>/opt/spark/jars/shapeless_2.11-2.0.0.jar</li>
                                        <li>/opt/spark/jars/spark-repl_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/jersey-server-2.22.2.jar</li>
                                        <li>/opt/spark/jars/jackson-xc-1.9.13.jar</li>
                                        <li>/opt/spark/jars/json4s-ast_2.11-3.2.11.jar</li>
                                        <li>/opt/spark/jars/bonecp-0.8.0.RELEASE.jar</li>
                                        <li>/opt/spark/jars/objenesis-2.1.jar</li>
                                        <li>/opt/spark/jars/jul-to-slf4j-1.7.16.jar</li>
                                        <li>/opt/spark/jars/chill-java-0.8.0.jar</li>
                                        <li>/opt/spark/jars/janino-3.0.0.jar</li>
                                        <li>/opt/spark/jars/osgi-resource-locator-1.0.1.jar</li>
                                        <li>/opt/spark/jars/jpam-1.1.jar</li>
                                        <li>/opt/spark/jars/avro-ipc-1.7.7.jar</li>
                                        <li>/opt/spark/jars/paranamer-2.3.jar</li>
                                        <li>/opt/spark/jars/spark-core_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/parquet-column-1.8.1.jar</li>
                                        <li>/opt/spark/jars/jsr305-1.3.9.jar</li>
                                        <li>/opt/spark/jars/parquet-jackson-1.8.1.jar</li>
                                        <li>/opt/spark/jars/javax.inject-1.jar</li>
                                        <li>/opt/spark/jars/parquet-hadoop-1.8.1.jar</li>
                                        <li>/opt/spark/jars/derby-10.12.1.1.jar</li>
                                        <li>/opt/spark/jars/avro-1.7.7.jar</li>
                                        <li>/opt/spark/jars/spark-network-shuffle_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/stax-api-1.0-2.jar</li>
                                        <li>/opt/spark/jars/jackson-core-2.6.5.jar</li>
                                        <li>/opt/spark/jars/commons-io-2.4.jar</li>
                                        <li>/opt/spark/jars/spark-mllib-local_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/hadoop-hdfs-2.6.4.jar</li>
                                        <li>/opt/spark/jars/datanucleus-core-3.2.10.jar</li>
                                        <li>/opt/spark/jars/commons-dbcp-1.4.jar</li>
                                        <li>/opt/spark/jars/json4s-jackson_2.11-3.2.11.jar</li>
                                        <li>/opt/spark/jars/libfb303-0.9.2.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-client-2.6.4.jar</li>
                                        <li>/opt/spark/jars/guava-14.0.1.jar</li>
                                        <li>/opt/spark/jars/scala-compiler-2.11.8.jar</li>
                                        <li>/opt/spark/jars/commons-configuration-1.6.jar</li>
                                        <li>/opt/spark/jars/httpclient-4.5.2.jar</li>
                                        <li>/opt/spark/jars/jersey-media-jaxb-2.22.2.jar</li>
                                        <li>/opt/spark/jars/hadoop-annotations-2.6.4.jar</li>
                                        <li>/opt/spark/jars/opencsv-2.3.jar</li>
                                        <li>/opt/spark/jars/hk2-api-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/javassist-3.18.1-GA.jar</li>
                                        <li>/opt/spark/jars/httpcore-4.4.4.jar</li>
                                        <li>/opt/spark/jars/base64-2.3.8.jar</li>
                                        <li>/opt/spark/jars/scala-xml_2.11-1.0.2.jar</li>
                                        <li>/opt/spark/jars/calcite-core-1.2.0-incubating.jar</li>
                                        <li>/opt/spark/jars/curator-recipes-2.6.0.jar</li>
                                        <li>/opt/spark/jars/minlog-1.3.0.jar</li>
                                        <li>/opt/spark/jars/jackson-module-paranamer-2.6.5.jar</li>
                                        <li>/opt/spark/jars/jackson-databind-2.6.5.jar</li>
                                        <li>/opt/spark/jars/aopalliance-1.0.jar</li>
                                        <li>/opt/spark/jars/mesos-1.0.0-shaded-protobuf.jar</li>
                                        <li>/opt/spark/jars/protobuf-java-2.5.0.jar</li>
                                        <li>/opt/spark/jars/htrace-core-3.0.4.jar</li>
                                        <li>/opt/spark/jars/curator-framework-2.6.0.jar</li>
                                        <li>/opt/spark/jars/pmml-model-1.2.15.jar</li>
                                        <li>/opt/spark/jars/jersey-container-servlet-core-2.22.2.jar</li>
                                        <li>/opt/spark/jars/aopalliance-repackaged-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/antlr-2.7.7.jar</li>
                                        <li>/opt/spark/jars/kryo-shaded-3.0.3.jar</li>
                                        <li>/opt/spark/jars/javax.inject-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/arpack_combined_all-0.1.jar</li>
                                        <li>/opt/spark/jars/snappy-java-1.1.2.6.jar</li>
                                        <li>/opt/spark/jars/hive-jdbc-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/spark-tags_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/spark-streaming_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/lz4-1.3.0.jar</li>
                                        <li>/opt/spark/jars/api-util-1.0.0-M20.jar</li>
                                        <li>/opt/spark/jars/RoaringBitmap-0.5.11.jar</li>
                                        <li>/opt/spark/jars/joda-time-2.9.3.jar</li>
                                        <li>/opt/spark/jars/netty-3.8.0.Final.jar</li>
                                        <li>/opt/spark/jars/hk2-utils-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/calcite-linq4j-1.2.0-incubating.jar</li>
                                        <li>/opt/spark/jars/spark-yarn_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/jaxb-api-2.2.2.jar</li>
                                        <li>/opt/spark/jars/commons-compiler-3.0.0.jar</li>
                                        <li>/opt/spark/jars/slf4j-api-1.7.16.jar</li>
                                        <li>/opt/spark/jars/json4s-core_2.11-3.2.11.jar</li>
                                        <li>/opt/spark/jars/leveldbjni-all-1.8.jar</li>
                                        <li>/opt/spark/jars/super-csv-2.2.0.jar</li>
                                        <li>/opt/spark/jars/activation-1.1.1.jar</li>
                                        <li>/opt/spark/jars/mail-1.4.7.jar</li>
                                        <li>/opt/spark/jars/metrics-jvm-3.1.2.jar</li>
                                        <li>/opt/spark/jars/commons-compress-1.4.1.jar</li>
                                        <li>/opt/spark/jars/guice-servlet-3.0.jar</li>
                                        <li>/opt/spark/jars/scala-reflect-2.11.8.jar</li>
                                        <li>/opt/spark/jars/spark-network-common_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/commons-crypto-1.0.0.jar</li>
                                        <li>/opt/spark/jars/jackson-jaxrs-1.9.13.jar</li>
                                        <li>/opt/spark/jars/zookeeper-3.4.6.jar</li>
                                        <li>/opt/spark/jars/commons-collections-3.2.2.jar</li>
                                        <li>/opt/spark/jars/hk2-locator-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/commons-beanutils-core-1.8.0.jar</li>
                                        <li>/opt/spark/jars/commons-logging-1.1.3.jar</li>
                                        <li>/opt/spark/jars/scala-parser-combinators_2.11-1.0.4.jar</li>
                                        <li>/opt/spark/jars/jersey-guava-2.22.2.jar</li>
                                        <li>/opt/spark/jars/xz-1.0.jar</li>
                                        <li>/opt/spark/jars/javax.annotation-api-1.2.jar</li>
                                        <li>/opt/spark/jars/py4j-0.10.4.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-server-web-proxy-2.6.4.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-app-2.6.4.jar</li>
                                        <li>/opt/spark/jars/mx4j-3.0.2.jar</li>
                                        <li>/opt/spark/jars/apacheds-i18n-2.0.0-M15.jar</li>
                                        <li>/opt/spark/jars/jersey-container-servlet-2.22.2.jar</li>
                                        <li>/opt/spark/jars/jcl-over-slf4j-1.7.16.jar</li>
                                        <li>/opt/spark/jars/jline-2.12.1.jar</li>
                                        <li>/opt/spark/jars/javolution-5.5.1.jar</li>
                                        <li>/opt/spark/jars/commons-math3-3.4.1.jar</li>
                                        <li>/opt/spark/jars/jackson-module-scala_2.11-2.6.5.jar</li>
                                        <li>/opt/spark/jars/hive-beeline-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/eigenbase-properties-1.1.5.jar</li>
                                        <li>/opt/spark/jars/metrics-json-3.1.2.jar</li>
                                        <li>/opt/spark/jars/curator-client-2.6.0.jar</li>
                                        <li>/opt/spark/jars/jta-1.1.jar</li>
                                        <li>/opt/spark/jars/commons-beanutils-1.7.0.jar</li>
                                        <li>/opt/hadoop/etc/hadoop/</li>
                                </ul>
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